Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 18 |
| Missing cells | 133 |
| Missing cells (%) | 33.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.2 KiB |
| Average record size in memory | 184.0 B |
Variable types
| Text | 2 |
|---|---|
| Unsupported | 3 |
| Categorical | 5 |
| Numeric | 12 |
Region has constant value "" | Constant |
Division has constant value "" | Constant |
Games_Level has constant value "" | Constant |
Qualifier has constant value "" | Constant |
Back Squat (lbs) is highly overall correlated with Deadlift (lbs) and 3 other fields | High correlation |
Clean and Jerk (lbs) is highly overall correlated with Fight Gone Bad and 2 other fields | High correlation |
Deadlift (lbs) is highly overall correlated with Back Squat (lbs) and 2 other fields | High correlation |
Fight Gone Bad is highly overall correlated with Clean and Jerk (lbs) and 4 other fields | High correlation |
Filthy 50 (s) is highly overall correlated with Back Squat (lbs) and 4 other fields | High correlation |
Fran (s) is highly overall correlated with Back Squat (lbs) and 2 other fields | High correlation |
Grace (s) is highly overall correlated with Back Squat (lbs) and 2 other fields | High correlation |
Helen (s) is highly overall correlated with Fran (s) and 3 other fields | High correlation |
Max Pull-ups is highly overall correlated with Helen (s) and 1 other fields | High correlation |
Rank is highly overall correlated with Filthy 50 (s) and 1 other fields | High correlation |
Run 5k (s) is highly overall correlated with Fight Gone Bad and 2 other fields | High correlation |
Snatch (lbs) is highly overall correlated with Fight Gone Bad | High correlation |
Sprint 400m (s) is highly overall correlated with Clean and Jerk (lbs) and 3 other fields | High correlation |
Affiliate has 4 (22.2%) missing values | Missing |
Country has 18 (100.0%) missing values | Missing |
Back Squat (lbs) has 1 (5.6%) missing values | Missing |
Clean and Jerk (lbs) has 1 (5.6%) missing values | Missing |
Deadlift (lbs) has 1 (5.6%) missing values | Missing |
Fight Gone Bad has 12 (66.7%) missing values | Missing |
Max Pull-ups has 7 (38.9%) missing values | Missing |
Chad1000x (s) has 18 (100.0%) missing values | Missing |
L1 Benchmark (s) has 18 (100.0%) missing values | Missing |
Filthy 50 (s) has 12 (66.7%) missing values | Missing |
Fran (s) has 5 (27.8%) missing values | Missing |
Grace (s) has 6 (33.3%) missing values | Missing |
Helen (s) has 11 (61.1%) missing values | Missing |
Run 5k (s) has 7 (38.9%) missing values | Missing |
Sprint 400m (s) has 12 (66.7%) missing values | Missing |
Athlete has unique values | Unique |
Rank has unique values | Unique |
Country is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Chad1000x (s) is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
L1 Benchmark (s) is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Reproduction
| Analysis started | 2024-02-17 20:22:43.486622 |
|---|---|
| Analysis finished | 2024-02-17 20:22:58.434966 |
| Duration | 14.95 seconds |
| Software version | ydata-profiling vv4.6.4 |
| Download configuration | config.json |
Athlete
Text
UNIQUE
| Distinct | 18 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 288.0 B |
Length
| Max length | 25 |
|---|---|
| Median length | 16 |
| Mean length | 14.055556 |
| Min length | 10 |
Characters and Unicode
| Total characters | 253 |
|---|---|
| Distinct characters | 44 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 18 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Jeffrey Adler |
|---|---|
| 2nd row | Patrick Vellner |
| 3rd row | Roman Khrennikov |
| 4th row | Brent Fikowski |
| 5th row | Jonne Koski |
| Value | Count | Frequency (%) |
| samuel | 2 | 5.4% |
| jeffrey | 1 | 2.7% |
| ohlsen | 1 | 2.7% |
| will | 1 | 2.7% |
| moorad | 1 | 2.7% |
| björgvin | 1 | 2.7% |
| karl | 1 | 2.7% |
| guðmundsson | 1 | 2.7% |
| chandler | 1 | 2.7% |
| smith | 1 | 2.7% |
| Other values (26) | 26 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 24 | 9.5% |
| 19 | 7.5% | |
| n | 18 | 7.1% |
| i | 17 | 6.7% |
| l | 16 | 6.3% |
| r | 16 | 6.3% |
| a | 15 | 5.9% |
| o | 15 | 5.9% |
| s | 9 | 3.6% |
| k | 8 | 3.2% |
| Other values (34) | 96 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 197 | |
| Uppercase Letter | 37 | 14.6% |
| Space Separator | 19 | 7.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 24 | |
| n | 18 | 9.1% |
| i | 17 | 8.6% |
| l | 16 | 8.1% |
| r | 16 | 8.1% |
| a | 15 | 7.6% |
| o | 15 | 7.6% |
| s | 9 | 4.6% |
| k | 8 | 4.1% |
| u | 7 | 3.6% |
| Other values (17) | 52 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 5 | |
| K | 4 | |
| B | 3 | 8.1% |
| M | 3 | 8.1% |
| J | 3 | 8.1% |
| C | 3 | 8.1% |
| F | 2 | 5.4% |
| V | 2 | 5.4% |
| U | 2 | 5.4% |
| N | 2 | 5.4% |
| Other values (6) | 8 |
Space Separator
| Value | Count | Frequency (%) |
| 19 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 234 | |
| Common | 19 | 7.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 24 | 10.3% |
| n | 18 | 7.7% |
| i | 17 | 7.3% |
| l | 16 | 6.8% |
| r | 16 | 6.8% |
| a | 15 | 6.4% |
| o | 15 | 6.4% |
| s | 9 | 3.8% |
| k | 8 | 3.4% |
| u | 7 | 3.0% |
| Other values (33) | 89 |
Common
| Value | Count | Frequency (%) |
| 19 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 251 | |
| None | 2 | 0.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 24 | 9.6% |
| 19 | 7.6% | |
| n | 18 | 7.2% |
| i | 17 | 6.8% |
| l | 16 | 6.4% |
| r | 16 | 6.4% |
| a | 15 | 6.0% |
| o | 15 | 6.0% |
| s | 9 | 3.6% |
| k | 8 | 3.2% |
| Other values (32) | 94 |
None
| Value | Count | Frequency (%) |
| ö | 1 | |
| ð | 1 |
Affiliate
Text
MISSING
| Distinct | 14 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 4 |
| Missing (%) | 22.2% |
| Memory size | 288.0 B |
Length
| Max length | 23 |
|---|---|
| Median length | 19 |
| Mean length | 18.071429 |
| Min length | 12 |
Characters and Unicode
| Total characters | 253 |
|---|---|
| Distinct characters | 39 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 14 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | CrossFit Wonderland |
|---|---|
| 2nd row | CrossFit Nanaimo |
| 3rd row | CrossFit Mayhem |
| 4th row | CrossFit 10K |
| 5th row | CrossFit Invictus |
| Value | Count | Frequency (%) |
| crossfit | 14 | |
| minnetonka | 1 | 2.9% |
| spokane | 1 | 2.9% |
| house | 1 | 2.9% |
| strong | 1 | 2.9% |
| naples | 1 | 2.9% |
| chambly | 1 | 2.9% |
| adm | 1 | 2.9% |
| pauli | 1 | 2.9% |
| sankt | 1 | 2.9% |
| Other values (11) | 11 |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 33 | |
| o | 20 | 7.9% |
| i | 20 | 7.9% |
| 20 | 7.9% | |
| t | 19 | 7.5% |
| r | 16 | 6.3% |
| C | 15 | 5.9% |
| F | 14 | 5.5% |
| a | 14 | 5.5% |
| n | 11 | 4.3% |
| Other values (29) | 71 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 179 | |
| Uppercase Letter | 49 | 19.4% |
| Space Separator | 20 | 7.9% |
| Decimal Number | 5 | 2.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 33 | |
| o | 20 | |
| i | 20 | |
| t | 19 | |
| r | 16 | |
| a | 14 | |
| n | 11 | 6.1% |
| l | 10 | 5.6% |
| e | 10 | 5.6% |
| k | 4 | 2.2% |
| Other values (10) | 22 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 15 | |
| F | 14 | |
| M | 3 | 6.1% |
| S | 3 | 6.1% |
| N | 3 | 6.1% |
| P | 2 | 4.1% |
| H | 2 | 4.1% |
| A | 1 | 2.0% |
| D | 1 | 2.0% |
| E | 1 | 2.0% |
| Other values (4) | 4 | 8.2% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 6 | 1 | |
| 1 | 1 | |
| 3 | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 20 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 228 | |
| Common | 25 | 9.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 33 | |
| o | 20 | 8.8% |
| i | 20 | 8.8% |
| t | 19 | 8.3% |
| r | 16 | 7.0% |
| C | 15 | 6.6% |
| F | 14 | 6.1% |
| a | 14 | 6.1% |
| n | 11 | 4.8% |
| l | 10 | 4.4% |
| Other values (24) | 56 |
Common
| Value | Count | Frequency (%) |
| 20 | ||
| 0 | 2 | 8.0% |
| 6 | 1 | 4.0% |
| 1 | 1 | 4.0% |
| 3 | 1 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 253 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 33 | |
| o | 20 | 7.9% |
| i | 20 | 7.9% |
| 20 | 7.9% | |
| t | 19 | 7.5% |
| r | 16 | 6.3% |
| C | 15 | 5.9% |
| F | 14 | 5.5% |
| a | 14 | 5.5% |
| n | 11 | 4.3% |
| Other values (29) | 71 |
Country
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 18 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 288.0 B |
Region
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 288.0 B |
| worldwide |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 162 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | worldwide |
|---|---|
| 2nd row | worldwide |
| 3rd row | worldwide |
| 4th row | worldwide |
| 5th row | worldwide |
Common Values
| Value | Count | Frequency (%) |
| worldwide | 18 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| worldwide | 18 |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 162 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 162 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 162 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Division
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 288.0 B |
| Men |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 54 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Men |
|---|---|
| 2nd row | Men |
| 3rd row | Men |
| 4th row | Men |
| 5th row | Men |
Common Values
| Value | Count | Frequency (%) |
| Men | 18 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| men | 18 |
Most occurring characters
| Value | Count | Frequency (%) |
| M | 18 | |
| e | 18 | |
| n | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 36 | |
| Uppercase Letter | 18 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 18 | |
| n | 18 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 54 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| M | 18 | |
| e | 18 | |
| n | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 54 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| M | 18 | |
| e | 18 | |
| n | 18 |
Rank
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 18 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.611111 |
| Minimum | 1 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.85 |
| Q1 | 6.25 |
| median | 15.5 |
| Q3 | 21.75 |
| 95-th percentile | 34.15 |
| Maximum | 35 |
| Range | 34 |
| Interquartile range (IQR) | 15.5 |
Descriptive statistics
| Standard deviation | 10.555951 |
|---|---|
| Coefficient of variation (CV) | 0.67618192 |
| Kurtosis | -0.80431202 |
| Mean | 15.611111 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.29008719 |
| Sum | 281 |
| Variance | 111.4281 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 1 | 1 | 5.6% |
| 2 | 1 | 5.6% |
| 34 | 1 | 5.6% |
| 26 | 1 | 5.6% |
| 25 | 1 | 5.6% |
| 22 | 1 | 5.6% |
| 21 | 1 | 5.6% |
| 20 | 1 | 5.6% |
| 19 | 1 | 5.6% |
| 16 | 1 | 5.6% |
| Other values (8) | 8 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 11 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 |
| Value | Count | Frequency (%) |
| 35 | 1 | |
| 34 | 1 | |
| 26 | 1 | |
| 25 | 1 | |
| 22 | 1 | |
| 21 | 1 | |
| 20 | 1 | |
| 19 | 1 | |
| 16 | 1 | |
| 15 | 1 |
Games_Level
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 288.0 B |
| worldwide |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 162 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | worldwide |
|---|---|
| 2nd row | worldwide |
| 3rd row | worldwide |
| 4th row | worldwide |
| 5th row | worldwide |
Common Values
| Value | Count | Frequency (%) |
| worldwide | 18 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| worldwide | 18 |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 162 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 162 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 162 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| w | 36 | |
| d | 36 | |
| o | 18 | |
| r | 18 | |
| l | 18 | |
| i | 18 | |
| e | 18 |
Qualifier
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 288.0 B |
| games |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 90 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | games |
|---|---|
| 2nd row | games |
| 3rd row | games |
| 4th row | games |
| 5th row | games |
Common Values
| Value | Count | Frequency (%) |
| games | 18 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| games | 18 |
Most occurring characters
| Value | Count | Frequency (%) |
| g | 18 | |
| a | 18 | |
| m | 18 | |
| e | 18 | |
| s | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 90 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| g | 18 | |
| a | 18 | |
| m | 18 | |
| e | 18 | |
| s | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 90 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| g | 18 | |
| a | 18 | |
| m | 18 | |
| e | 18 | |
| s | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 90 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| g | 18 | |
| a | 18 | |
| m | 18 | |
| e | 18 | |
| s | 18 |
Back Squat (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 13 |
|---|---|
| Distinct (%) | 76.5% |
| Missing | 1 |
| Missing (%) | 5.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 466.84059 |
| Minimum | 435 |
|---|---|
| Maximum | 545 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 435 |
|---|---|
| 5-th percentile | 439.7392 |
| Q1 | 455 |
| median | 460 |
| Q3 | 475 |
| 95-th percentile | 505 |
| Maximum | 545 |
| Range | 110 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 25.437804 |
|---|---|
| Coefficient of variation (CV) | 0.054489273 |
| Kurtosis | 5.0235259 |
| Mean | 466.84059 |
| Median Absolute Deviation (MAD) | 13.9933 |
| Skewness | 1.8815882 |
| Sum | 7936.29 |
| Variance | 647.08189 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 475 | 2 | |
| 455 | 2 | |
| 460 | 2 | |
| 465 | 2 | |
| 473.9933 | 1 | 5.6% |
| 495 | 1 | 5.6% |
| 445 | 1 | 5.6% |
| 545 | 1 | 5.6% |
| 456.35634 | 1 | 5.6% |
| 485.0164 | 1 | 5.6% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 435 | 1 | |
| 440.924 | 1 | |
| 445 | 1 | |
| 450 | 1 | |
| 455 | 2 | |
| 456.35634 | 1 | |
| 460 | 2 | |
| 465 | 2 | |
| 473.9933 | 1 | |
| 475 | 2 |
| Value | Count | Frequency (%) |
| 545 | 1 | |
| 495 | 1 | |
| 485.0164 | 1 | |
| 475 | 2 | |
| 473.9933 | 1 | |
| 465 | 2 | |
| 460 | 2 | |
| 456.35634 | 1 | |
| 455 | 2 | |
| 450 | 1 |
Clean and Jerk (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 12 |
|---|---|
| Distinct (%) | 70.6% |
| Missing | 1 |
| Missing (%) | 5.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 359.50086 |
| Minimum | 335 |
|---|---|
| Maximum | 380 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 335 |
|---|---|
| 5-th percentile | 339 |
| Q1 | 345 |
| median | 360 |
| Q3 | 374.7854 |
| 95-th percentile | 377.6 |
| Maximum | 380 |
| Range | 45 |
| Interquartile range (IQR) | 29.7854 |
Descriptive statistics
| Standard deviation | 14.989064 |
|---|---|
| Coefficient of variation (CV) | 0.041694098 |
| Kurtosis | -1.4173787 |
| Mean | 359.50086 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | -0.1514054 |
| Sum | 6111.5146 |
| Variance | 224.67204 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 355 | 2 | |
| 370 | 2 | |
| 340 | 2 | |
| 360 | 2 | |
| 345 | 2 | |
| 377 | 1 | |
| 335 | 1 | |
| 380 | 1 | |
| 375 | 1 | |
| 352.7392 | 1 | |
| Other values (2) | 2 |
| Value | Count | Frequency (%) |
| 335 | 1 | |
| 340 | 2 | |
| 345 | 2 | |
| 352.7392 | 1 | |
| 355 | 2 | |
| 360 | 2 | |
| 370 | 2 | |
| 374.7854 | 1 | |
| 375 | 1 | |
| 376.99002 | 1 |
| Value | Count | Frequency (%) |
| 380 | 1 | |
| 377 | 1 | |
| 376.99002 | 1 | |
| 375 | 1 | |
| 374.7854 | 1 | |
| 370 | 2 | |
| 360 | 2 | |
| 355 | 2 | |
| 352.7392 | 1 | |
| 345 | 2 |
Deadlift (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 14 |
|---|---|
| Distinct (%) | 82.4% |
| Missing | 1 |
| Missing (%) | 5.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 554.05783 |
| Minimum | 489.42564 |
|---|---|
| Maximum | 635 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 489.42564 |
|---|---|
| 5-th percentile | 501.88513 |
| Q1 | 530 |
| median | 540 |
| Q3 | 573.2012 |
| 95-th percentile | 619 |
| Maximum | 635 |
| Range | 145.57436 |
| Interquartile range (IQR) | 43.2012 |
Descriptive statistics
| Standard deviation | 40.567272 |
|---|---|
| Coefficient of variation (CV) | 0.073218481 |
| Kurtosis | -0.52872572 |
| Mean | 554.05783 |
| Median Absolute Deviation (MAD) | 27 |
| Skewness | 0.49874502 |
| Sum | 9418.983 |
| Variance | 1645.7036 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 530 | 3 | |
| 573.2012 | 2 | |
| 567 | 1 | 5.6% |
| 595 | 1 | 5.6% |
| 635 | 1 | 5.6% |
| 520 | 1 | 5.6% |
| 525 | 1 | 5.6% |
| 540 | 1 | 5.6% |
| 605 | 1 | 5.6% |
| 551.155 | 1 | 5.6% |
| Other values (4) | 4 |
| Value | Count | Frequency (%) |
| 489.42564 | 1 | 5.6% |
| 505 | 1 | 5.6% |
| 520 | 1 | 5.6% |
| 525 | 1 | 5.6% |
| 530 | 3 | |
| 535 | 1 | 5.6% |
| 540 | 1 | 5.6% |
| 551.155 | 1 | 5.6% |
| 567 | 1 | 5.6% |
| 573.2012 | 2 |
| Value | Count | Frequency (%) |
| 635 | 1 | 5.6% |
| 615 | 1 | 5.6% |
| 605 | 1 | 5.6% |
| 595 | 1 | 5.6% |
| 573.2012 | 2 | |
| 567 | 1 | 5.6% |
| 551.155 | 1 | 5.6% |
| 540 | 1 | 5.6% |
| 535 | 1 | 5.6% |
| 530 | 3 |
Snatch (lbs)
Real number (ℝ)
HIGH CORRELATION
| Distinct | 11 |
|---|---|
| Distinct (%) | 61.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 291.79207 |
| Minimum | 275 |
|---|---|
| Maximum | 313.05604 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 275 |
|---|---|
| 5-th percentile | 275 |
| Q1 | 281.25 |
| median | 290 |
| Q3 | 300 |
| 95-th percentile | 310.45841 |
| Maximum | 313.05604 |
| Range | 38.05604 |
| Interquartile range (IQR) | 18.75 |
Descriptive statistics
| Standard deviation | 12.38097 |
|---|---|
| Coefficient of variation (CV) | 0.042430797 |
| Kurtosis | -1.250158 |
| Mean | 291.79207 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.14895263 |
| Sum | 5252.2572 |
| Variance | 153.28842 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 300 | 3 | |
| 290 | 2 | |
| 280 | 2 | |
| 275 | 2 | |
| 305 | 2 | |
| 285 | 2 | |
| 286 | 1 | 5.6% |
| 310 | 1 | 5.6% |
| 275.5775 | 1 | 5.6% |
| 297.6237 | 1 | 5.6% |
| Value | Count | Frequency (%) |
| 275 | 2 | |
| 275.5775 | 1 | 5.6% |
| 280 | 2 | |
| 285 | 2 | |
| 286 | 1 | 5.6% |
| 290 | 2 | |
| 297.6237 | 1 | 5.6% |
| 300 | 3 | |
| 305 | 2 | |
| 310 | 1 | 5.6% |
| Value | Count | Frequency (%) |
| 313.05604 | 1 | 5.6% |
| 310 | 1 | 5.6% |
| 305 | 2 | |
| 300 | 3 | |
| 297.6237 | 1 | 5.6% |
| 290 | 2 | |
| 286 | 1 | 5.6% |
| 285 | 2 | |
| 280 | 2 | |
| 275.5775 | 1 | 5.6% |
Fight Gone Bad
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 6 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 66.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 470 |
| Minimum | 389 |
|---|---|
| Maximum | 522 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 389 |
|---|---|
| 5-th percentile | 397 |
| Q1 | 430 |
| median | 484 |
| Q3 | 517.75 |
| 95-th percentile | 521.5 |
| Maximum | 522 |
| Range | 133 |
| Interquartile range (IQR) | 87.75 |
Descriptive statistics
| Standard deviation | 56.59682 |
|---|---|
| Coefficient of variation (CV) | 0.12041877 |
| Kurtosis | -1.7999961 |
| Mean | 470 |
| Median Absolute Deviation (MAD) | 37 |
| Skewness | -0.52417073 |
| Sum | 2820 |
| Variance | 3203.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 511 | 1 | 5.6% |
| 389 | 1 | 5.6% |
| 421 | 1 | 5.6% |
| 520 | 1 | 5.6% |
| 522 | 1 | 5.6% |
| 457 | 1 | 5.6% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 389 | 1 | |
| 421 | 1 | |
| 457 | 1 | |
| 511 | 1 | |
| 520 | 1 | |
| 522 | 1 |
| Value | Count | Frequency (%) |
| 522 | 1 | |
| 520 | 1 | |
| 511 | 1 | |
| 457 | 1 | |
| 421 | 1 | |
| 389 | 1 |
Max Pull-ups
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 81.8% |
| Missing | 7 |
| Missing (%) | 38.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.181818 |
| Minimum | 54 |
|---|---|
| Maximum | 85 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 54 |
|---|---|
| 5-th percentile | 57 |
| Q1 | 64.5 |
| median | 72 |
| Q3 | 73 |
| 95-th percentile | 80 |
| Maximum | 85 |
| Range | 31 |
| Interquartile range (IQR) | 8.5 |
Descriptive statistics
| Standard deviation | 8.3164678 |
|---|---|
| Coefficient of variation (CV) | 0.12021176 |
| Kurtosis | 0.65244773 |
| Mean | 69.181818 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.03257908 |
| Sum | 761 |
| Variance | 69.163636 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 72 | 3 | |
| 54 | 1 | 5.6% |
| 64 | 1 | 5.6% |
| 75 | 1 | 5.6% |
| 85 | 1 | 5.6% |
| 65 | 1 | 5.6% |
| 74 | 1 | 5.6% |
| 60 | 1 | 5.6% |
| 68 | 1 | 5.6% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 54 | 1 | 5.6% |
| 60 | 1 | 5.6% |
| 64 | 1 | 5.6% |
| 65 | 1 | 5.6% |
| 68 | 1 | 5.6% |
| 72 | 3 | |
| 74 | 1 | 5.6% |
| 75 | 1 | 5.6% |
| 85 | 1 | 5.6% |
| Value | Count | Frequency (%) |
| 85 | 1 | 5.6% |
| 75 | 1 | 5.6% |
| 74 | 1 | 5.6% |
| 72 | 3 | |
| 68 | 1 | 5.6% |
| 65 | 1 | 5.6% |
| 64 | 1 | 5.6% |
| 60 | 1 | 5.6% |
| 54 | 1 | 5.6% |
Chad1000x (s)
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 18 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 288.0 B |
L1 Benchmark (s)
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 18 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 288.0 B |
Filthy 50 (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 6 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 66.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1002.8333 |
| Minimum | 795 |
|---|---|
| Maximum | 1216 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 795 |
|---|---|
| 5-th percentile | 819.75 |
| Q1 | 899.75 |
| median | 983.5 |
| Q3 | 1121.25 |
| 95-th percentile | 1198.25 |
| Maximum | 1216 |
| Range | 421 |
| Interquartile range (IQR) | 221.5 |
Descriptive statistics
| Standard deviation | 161.42047 |
|---|---|
| Coefficient of variation (CV) | 0.1609644 |
| Kurtosis | -1.5706486 |
| Mean | 1002.8333 |
| Median Absolute Deviation (MAD) | 125.5 |
| Skewness | 0.1259505 |
| Sum | 6017 |
| Variance | 26056.567 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 917 | 1 | 5.6% |
| 1216 | 1 | 5.6% |
| 1145 | 1 | 5.6% |
| 1050 | 1 | 5.6% |
| 795 | 1 | 5.6% |
| 894 | 1 | 5.6% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 795 | 1 | |
| 894 | 1 | |
| 917 | 1 | |
| 1050 | 1 | |
| 1145 | 1 | |
| 1216 | 1 |
| Value | Count | Frequency (%) |
| 1216 | 1 | |
| 1145 | 1 | |
| 1050 | 1 | |
| 917 | 1 | |
| 894 | 1 | |
| 795 | 1 |
Fran (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 11 |
|---|---|
| Distinct (%) | 84.6% |
| Missing | 5 |
| Missing (%) | 27.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 130.07692 |
| Minimum | 109 |
|---|---|
| Maximum | 171 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 109 |
|---|---|
| 5-th percentile | 115.6 |
| Q1 | 123 |
| median | 125 |
| Q3 | 134 |
| 95-th percentile | 154.2 |
| Maximum | 171 |
| Range | 62 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 14.86305 |
|---|---|
| Coefficient of variation (CV) | 0.11426354 |
| Kurtosis | 4.6954276 |
| Mean | 130.07692 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 1.7649898 |
| Sum | 1691 |
| Variance | 220.91026 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 134 | 2 | 11.1% |
| 123 | 2 | 11.1% |
| 122 | 1 | 5.6% |
| 120 | 1 | 5.6% |
| 143 | 1 | 5.6% |
| 132 | 1 | 5.6% |
| 124 | 1 | 5.6% |
| 109 | 1 | 5.6% |
| 125 | 1 | 5.6% |
| 171 | 1 | 5.6% |
| (Missing) | 5 |
| Value | Count | Frequency (%) |
| 109 | 1 | |
| 120 | 1 | |
| 122 | 1 | |
| 123 | 2 | |
| 124 | 1 | |
| 125 | 1 | |
| 131 | 1 | |
| 132 | 1 | |
| 134 | 2 | |
| 143 | 1 |
| Value | Count | Frequency (%) |
| 171 | 1 | |
| 143 | 1 | |
| 134 | 2 | |
| 132 | 1 | |
| 131 | 1 | |
| 125 | 1 | |
| 124 | 1 | |
| 123 | 2 | |
| 122 | 1 | |
| 120 | 1 |
Grace (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 6 |
| Missing (%) | 33.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.666667 |
| Minimum | 64 |
|---|---|
| Maximum | 120 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 64 |
|---|---|
| 5-th percentile | 66.75 |
| Q1 | 70 |
| median | 76 |
| Q3 | 90 |
| 95-th percentile | 112.85 |
| Maximum | 120 |
| Range | 56 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 17.041838 |
|---|---|
| Coefficient of variation (CV) | 0.20867557 |
| Kurtosis | 1.1163279 |
| Mean | 81.666667 |
| Median Absolute Deviation (MAD) | 6.5 |
| Skewness | 1.3520883 |
| Sum | 980 |
| Variance | 290.42424 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 76 | 2 | 11.1% |
| 70 | 2 | 11.1% |
| 90 | 2 | 11.1% |
| 77 | 1 | 5.6% |
| 64 | 1 | 5.6% |
| 120 | 1 | 5.6% |
| 107 | 1 | 5.6% |
| 69 | 1 | 5.6% |
| 71 | 1 | 5.6% |
| (Missing) | 6 |
| Value | Count | Frequency (%) |
| 64 | 1 | |
| 69 | 1 | |
| 70 | 2 | |
| 71 | 1 | |
| 76 | 2 | |
| 77 | 1 | |
| 90 | 2 | |
| 107 | 1 | |
| 120 | 1 |
| Value | Count | Frequency (%) |
| 120 | 1 | |
| 107 | 1 | |
| 90 | 2 | |
| 77 | 1 | |
| 76 | 2 | |
| 71 | 1 | |
| 70 | 2 | |
| 69 | 1 | |
| 64 | 1 |
Helen (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 7 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 11 |
| Missing (%) | 61.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 453.57143 |
| Minimum | 422 |
|---|---|
| Maximum | 586 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 422 |
|---|---|
| 5-th percentile | 423.8 |
| Q1 | 430 |
| median | 434 |
| Q3 | 436.5 |
| 95-th percentile | 541.6 |
| Maximum | 586 |
| Range | 164 |
| Interquartile range (IQR) | 6.5 |
Descriptive statistics
| Standard deviation | 58.62837 |
|---|---|
| Coefficient of variation (CV) | 0.1292594 |
| Kurtosis | 6.8254293 |
| Mean | 453.57143 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 2.6011599 |
| Sum | 3175 |
| Variance | 3437.2857 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 438 | 1 | 5.6% |
| 586 | 1 | 5.6% |
| 428 | 1 | 5.6% |
| 435 | 1 | 5.6% |
| 422 | 1 | 5.6% |
| 434 | 1 | 5.6% |
| 432 | 1 | 5.6% |
| (Missing) | 11 |
| Value | Count | Frequency (%) |
| 422 | 1 | |
| 428 | 1 | |
| 432 | 1 | |
| 434 | 1 | |
| 435 | 1 | |
| 438 | 1 | |
| 586 | 1 |
| Value | Count | Frequency (%) |
| 586 | 1 | |
| 438 | 1 | |
| 435 | 1 | |
| 434 | 1 | |
| 432 | 1 | |
| 428 | 1 | |
| 422 | 1 |
Run 5k (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 81.8% |
| Missing | 7 |
| Missing (%) | 38.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1161.8182 |
| Minimum | 1085 |
|---|---|
| Maximum | 1380 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 1085 |
|---|---|
| 5-th percentile | 1107.5 |
| Q1 | 1132.5 |
| median | 1139 |
| Q3 | 1160 |
| 95-th percentile | 1274 |
| Maximum | 1380 |
| Range | 295 |
| Interquartile range (IQR) | 27.5 |
Descriptive statistics
| Standard deviation | 75.781024 |
|---|---|
| Coefficient of variation (CV) | 0.065226234 |
| Kurtosis | 8.6416914 |
| Mean | 1161.8182 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 2.7589418 |
| Sum | 12780 |
| Variance | 5742.7636 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1130 | 2 | 11.1% |
| 1160 | 2 | 11.1% |
| 1155 | 1 | 5.6% |
| 1138 | 1 | 5.6% |
| 1085 | 1 | 5.6% |
| 1139 | 1 | 5.6% |
| 1380 | 1 | 5.6% |
| 1168 | 1 | 5.6% |
| 1135 | 1 | 5.6% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 1085 | 1 | |
| 1130 | 2 | |
| 1135 | 1 | |
| 1138 | 1 | |
| 1139 | 1 | |
| 1155 | 1 | |
| 1160 | 2 | |
| 1168 | 1 | |
| 1380 | 1 |
| Value | Count | Frequency (%) |
| 1380 | 1 | |
| 1168 | 1 | |
| 1160 | 2 | |
| 1155 | 1 | |
| 1139 | 1 | |
| 1138 | 1 | |
| 1135 | 1 | |
| 1130 | 2 | |
| 1085 | 1 |
Sprint 400m (s)
Categorical
HIGH CORRELATION MISSING
| Distinct | 3 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 12 |
| Missing (%) | 66.7% |
| Memory size | 288.0 B |
| 59.0 | |
|---|---|
| 54.0 | |
| 66.0 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 24 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 16.7% |
Sample
| 1st row | 59.0 |
|---|---|
| 2nd row | 66.0 |
| 3rd row | 59.0 |
| 4th row | 59.0 |
| 5th row | 54.0 |
Common Values
| Value | Count | Frequency (%) |
| 59.0 | 3 | 16.7% |
| 54.0 | 2 | 11.1% |
| 66.0 | 1 | 5.6% |
| (Missing) | 12 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 59.0 | 3 | |
| 54.0 | 2 | |
| 66.0 | 1 | 16.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 6 | |
| 0 | 6 | |
| 5 | 5 | |
| 9 | 3 | |
| 4 | 2 | 8.3% |
| 6 | 2 | 8.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 18 | |
| Other Punctuation | 6 | 25.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 5 | 5 | |
| 9 | 3 | |
| 4 | 2 | 11.1% |
| 6 | 2 | 11.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 24 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 6 | |
| 0 | 6 | |
| 5 | 5 | |
| 9 | 3 | |
| 4 | 2 | 8.3% |
| 6 | 2 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 24 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 6 | |
| 0 | 6 | |
| 5 | 5 | |
| 9 | 3 | |
| 4 | 2 | 8.3% |
| 6 | 2 | 8.3% |
| Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Fight Gone Bad | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Max Pull-ups | Rank | Run 5k (s) | Snatch (lbs) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Back Squat (lbs) | 1.000 | 0.445 | 0.590 | 0.353 | -0.647 | -0.628 | -0.556 | 0.319 | 0.378 | -0.133 | -0.044 | -0.006 | 0.000 |
| Clean and Jerk (lbs) | 0.445 | 1.000 | 0.389 | -0.543 | 0.200 | -0.665 | -0.468 | 0.493 | -0.111 | -0.018 | -0.037 | 0.468 | 0.707 |
| Deadlift (lbs) | 0.590 | 0.389 | 1.000 | -0.714 | 0.257 | -0.168 | -0.259 | 0.257 | 0.422 | -0.240 | -0.457 | 0.138 | 0.707 |
| Fight Gone Bad | 0.353 | -0.543 | -0.714 | 1.000 | -0.771 | 0.145 | -0.319 | -0.500 | 0.030 | 0.371 | 0.928 | -0.638 | 0.451 |
| Filthy 50 (s) | -0.647 | 0.200 | 0.257 | -0.771 | 1.000 | 0.029 | 0.783 | 0.300 | -0.030 | -0.600 | -0.812 | 0.174 | 0.000 |
| Fran (s) | -0.628 | -0.665 | -0.168 | 0.145 | 0.029 | 1.000 | 0.453 | -0.530 | -0.221 | 0.256 | 0.107 | 0.205 | 0.000 |
| Grace (s) | -0.556 | -0.468 | -0.259 | -0.319 | 0.783 | 0.453 | 1.000 | -0.086 | -0.189 | -0.130 | -0.338 | -0.228 | 0.509 |
| Helen (s) | 0.319 | 0.493 | 0.257 | -0.500 | 0.300 | -0.530 | -0.086 | 1.000 | -0.580 | -0.571 | -0.257 | 0.073 | 0.816 |
| Max Pull-ups | 0.378 | -0.111 | 0.422 | 0.030 | -0.030 | -0.221 | -0.189 | -0.580 | 1.000 | 0.083 | -0.548 | -0.254 | 0.451 |
| Rank | -0.133 | -0.018 | -0.240 | 0.371 | -0.600 | 0.256 | -0.130 | -0.571 | 0.083 | 1.000 | 0.324 | 0.082 | 0.333 |
| Run 5k (s) | -0.044 | -0.037 | -0.457 | 0.928 | -0.812 | 0.107 | -0.338 | -0.257 | -0.548 | 0.324 | 1.000 | 0.182 | 0.000 |
| Snatch (lbs) | -0.006 | 0.468 | 0.138 | -0.638 | 0.174 | 0.205 | -0.228 | 0.073 | -0.254 | 0.082 | 0.182 | 1.000 | 0.000 |
| Sprint 400m (s) | 0.000 | 0.707 | 0.707 | 0.451 | 0.000 | 0.000 | 0.509 | 0.816 | 0.451 | 0.333 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Athlete | Affiliate | Country | Region | Division | Rank | Games_Level | Qualifier | Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Snatch (lbs) | Fight Gone Bad | Max Pull-ups | Chad1000x (s) | L1 Benchmark (s) | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Run 5k (s) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 57069 | Jeffrey Adler | CrossFit Wonderland | NaN | worldwide | Men | 1.0 | worldwide | games | 475.0000 | 377.0 | 567.0000 | 290.0 | 511.0 | 54.0 | NaN | NaN | 917.0 | 122.0 | 76.0 | 438.0 | 1155.0 | 59.0 |
| 57070 | Patrick Vellner | CrossFit Nanaimo | NaN | worldwide | Men | 2.0 | worldwide | games | 455.0000 | 355.0 | 595.0000 | 290.0 | 389.0 | 64.0 | NaN | NaN | 1216.0 | 134.0 | 77.0 | 586.0 | 1130.0 | 66.0 |
| 57073 | Roman Khrennikov | CrossFit Mayhem | NaN | worldwide | Men | 3.0 | worldwide | games | 473.9933 | 370.0 | 573.2012 | 280.0 | NaN | 75.0 | NaN | NaN | NaN | 120.0 | 70.0 | NaN | NaN | NaN |
| 57076 | Brent Fikowski | NaN | NaN | worldwide | Men | 4.0 | worldwide | games | NaN | NaN | NaN | 300.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 428.0 | NaN | NaN |
| 57080 | Jonne Koski | CrossFit 10K | NaN | worldwide | Men | 6.0 | worldwide | games | 455.0000 | 340.0 | 530.0000 | 275.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 57082 | Chandler Smith | CrossFit Invictus | NaN | worldwide | Men | 7.0 | worldwide | games | 495.0000 | 360.0 | 635.0000 | 305.0 | NaN | 85.0 | NaN | NaN | NaN | 123.0 | 64.0 | 435.0 | 1138.0 | NaN |
| 57091 | Björgvin Karl Guðmundsson | CrossFit Hengill | NaN | worldwide | Men | 11.0 | worldwide | games | 445.0000 | 335.0 | 520.0000 | 286.0 | NaN | 65.0 | NaN | NaN | NaN | 143.0 | 120.0 | NaN | 1160.0 | NaN |
| 57097 | Will Moorad | CrossFit East Nashville | NaN | worldwide | Men | 14.0 | worldwide | games | 460.0000 | 355.0 | 525.0000 | 310.0 | NaN | NaN | NaN | NaN | NaN | 132.0 | NaN | NaN | NaN | NaN |
| 57098 | Samuel Kwant | NaN | NaN | worldwide | Men | 15.0 | worldwide | games | 460.0000 | 345.0 | 530.0000 | 285.0 | NaN | 74.0 | NaN | NaN | NaN | 124.0 | 107.0 | NaN | 1085.0 | NaN |
| 57102 | Noah Ohlsen | Peak 360 CrossFit | NaN | worldwide | Men | 16.0 | worldwide | games | 465.0000 | 380.0 | 540.0000 | 285.0 | 421.0 | 72.0 | NaN | NaN | 1145.0 | 109.0 | 76.0 | NaN | 1130.0 | 59.0 |
| Athlete | Affiliate | Country | Region | Division | Rank | Games_Level | Qualifier | Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Snatch (lbs) | Fight Gone Bad | Max Pull-ups | Chad1000x (s) | L1 Benchmark (s) | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Run 5k (s) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 57098 | Samuel Kwant | NaN | NaN | worldwide | Men | 15.0 | worldwide | games | 460.00000 | 345.00000 | 530.00000 | 285.00000 | NaN | 74.0 | NaN | NaN | NaN | 124.0 | 107.0 | NaN | 1085.0 | NaN |
| 57102 | Noah Ohlsen | Peak 360 CrossFit | NaN | worldwide | Men | 16.0 | worldwide | games | 465.00000 | 380.00000 | 540.00000 | 285.00000 | 421.0 | 72.0 | NaN | NaN | 1145.0 | 109.0 | 76.0 | NaN | 1130.0 | 59.0 |
| 57111 | Nick Mathew | CrossFit Minnetonka | NaN | worldwide | Men | 19.0 | worldwide | games | 545.00000 | 375.00000 | 605.00000 | 300.00000 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1160.0 | NaN |
| 57115 | Uldis Upenieks | NaN | NaN | worldwide | Men | 20.0 | worldwide | games | 456.35634 | 352.73920 | 551.15500 | 275.57750 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 57117 | Moritz Fiebig | CrossFit Sankt Pauli | NaN | worldwide | Men | 21.0 | worldwide | games | 485.01640 | 376.99002 | 573.20120 | 297.62370 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 57119 | Samuel Cournoyer | CrossFit ADM Chambly | NaN | worldwide | Men | 22.0 | worldwide | games | 435.00000 | 370.00000 | 530.00000 | 305.00000 | NaN | NaN | NaN | NaN | NaN | 125.0 | 90.0 | NaN | NaN | NaN |
| 57126 | James Sprague | CrossFit Naples | NaN | worldwide | Men | 25.0 | worldwide | games | 450.00000 | 340.00000 | 535.00000 | 280.00000 | 520.0 | 72.0 | NaN | NaN | 1050.0 | 171.0 | 90.0 | 422.0 | 1139.0 | 59.0 |
| 57130 | Bronislaw Olenkowicz | CrossFit Strong House | NaN | worldwide | Men | 26.0 | worldwide | games | 440.92400 | 374.78540 | 489.42564 | 313.05604 | NaN | 60.0 | NaN | NaN | NaN | 131.0 | 69.0 | NaN | 1380.0 | NaN |
| 57149 | Cole Sager | CrossFit Spokane Valley | NaN | worldwide | Men | 34.0 | worldwide | games | 475.00000 | 345.00000 | 505.00000 | 275.00000 | 522.0 | 68.0 | NaN | NaN | 795.0 | 123.0 | 70.0 | 434.0 | 1168.0 | 54.0 |
| 57151 | Alex Vigneault | NaN | NaN | worldwide | Men | 35.0 | worldwide | games | 465.00000 | 360.00000 | 615.00000 | 300.00000 | 457.0 | 72.0 | NaN | NaN | 894.0 | 134.0 | 71.0 | 432.0 | 1135.0 | 54.0 |